THE IDENTIFICATION OF THE PARTICIPANTS OF FISHING INDUSTRY CLUSTER OF PRIMORSKI KRAI USING THE RANKING SCORE METHOD
- Authors: Titova N.Y.1, Sarycheva M.A.1, Safronova E.A.1, Sokolova A.I.1, Flik E.G.1
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Affiliations:
- Vladivostok State University of Economics and Service, Vladivostok
- Issue: No 3 (2016)
- Pages: 68-74
- Section: Articles
- URL: https://vektornaukieconomika.ru/jour/article/view/209
- DOI: https://doi.org/10.18323/2221-5689-2016-3-68-74
- ID: 209
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Abstract
Today, fishing enterprises of Primorski Krai are the part of the most powerful fishing industry of the Russian Federation. However, current tendencies in the development of these enterprises demonstrate such issues as the high level of commercial poaching, the absence of demand for domestic processed fish products in foreign markets, the high level of fixed assets depreciation. In general, these issues are caused by the disintegration of fisheries industry and the destruction of pre-existing industrial and technological links between the enterprises. The implementation of cluster forms of interaction between the industrial organizations will enhance the competitiveness of fishing managers in the industry and change the orientation of the commodity exports of fishery products for export of the products with the higher degree of processing.
In this context, the aim of this paper is to identify the industry leaders as the potential participants of this cluster based on the determination of current financial and economic situation of the enterprises in the fishery sector.
To achieve this objective, the authors carried out the rating of thirty-four leading fishing enterprises of Primorski Krai based on their accounting financial statements for 4 years. During the study, the financial ratios were calculated that helped to identify the issues of the functioning of industrial organizations and to develop the strategy for their solving. The analysis revealed the leaders among the large and small businesses, which could be the basis for the core of the fishing industry cluster. The proposed in the study methodology can be used to identify the potential participants of industrial clusters of different economic activities in the regions of the Russian Federation.
About the authors
Natalya Yurievna Titova
Vladivostok State University of Economics and Service, Vladivostok
Author for correspondence.
Email: titova_2010@mail.ru
PhD (Economics), associate professor of Chair of international business and finance
Russian FederationMargarita Alekseevna Sarycheva
Vladivostok State University of Economics and Service, Vladivostok
Email: margo96.96@mail.ru
third-year student of Chair of international business and finance
Russian FederationElizaveta Andreevna Safronova
Vladivostok State University of Economics and Service, Vladivostok
Email: mail.mokona@gmail.com
third-year student of Chair of international business and finance
Russian FederationAnastasiya Igorevna Sokolova
Vladivostok State University of Economics and Service, Vladivostok
Email: annsok96@mail.ru
third-year student of Chair of international business and finance
Russian FederationEvgeniya Glebovna Flik
Vladivostok State University of Economics and Service, Vladivostok
Email: flick_@rambler.ru
senior lecturer of Chair of international business and finance
Russian FederationReferences
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